Staff Decision Scientist

Workiva

Remote
$129,000.00 - $207,000.00; a discretionary bonus; ...
**
Hypothesis-driven analyses
Snowflake cortex and ai-powered tools
Data storytelling for executive audiences
** Workiva is seeking a Staff Decision Scientist for a remote position, responsible for leading strategic analyses, uncovering causal drivers, and providing executive-ready recommendations. The role emphasizes collaboration across departments and requires a blend of technical skills and business acumen, particularly within the SaaS sector. **

Job Summary

  • Serve as a strategic thought partner to senior leaders, owning ambiguous problems and delivering recommendations that shape how Workiva operates and grows.
  • Lead rigorous, hypothesis-driven analyses, leveraging state-of-the-art analytical capabilities to develop and automate insights at scale.
  • Act as the metrics and data product owner, translating business initiatives into well-defined metrics and self-serve data products.

Matching Summary

Match Score: 75

** Workiva is seeking a Staff Decision Scientist for a remote position, responsible for leading strategic analyses, uncovering causal drivers, and providing executive-ready recommendations. The role emphasizes collaboration across departments and requires a blend of technical skills and business acumen, particularly within the SaaS sector. **

Salary

$129,000.00 - $207,000.00; A discretionary bonus; Restricted Stock Units, 401(k) match and comprehensive employee benefits package

Skills & Requirements

Must-have

  • Hypothesis-driven analyses
  • Snowflake Cortex and AI-powered tools
  • Data storytelling for executive audiences
  • Metrics and data product ownership
  • SQL & Data Manipulation expertise
  • Statistical analysis proficiency
  • Remote work with reliable internet

Nice-to-have

  • Deep understanding of SaaS business models
  • Influence without authority
  • Thrives in ambiguous environments
  • Data governance and metadata management

Key Requirements

  • 6+ years of experience in decision science, data analytics, or strategy analytics
  • Bachelor's degree in a quantitative field
  • Master's degree preferred
  • Experience with Snowflake, Redshift, and AI-assisted tools
  • Proficiency in hypothesis testing, A/B testing, regression, and causal inference
  • Experience with data visualization tools
  • Python for advanced analysis and workflow automation (preferred)
  • Working experience with data governance tools (e.g., Atlan, Alation)

Work Rights

Not specified

Tailored Resume

Cover Letter